Sciweavers

730 search results - page 45 / 146
» Faster dimension reduction
Sort
View
DAWAK
2006
Springer
13 years 10 months ago
COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach
Sequential pattern mining aims to find frequent patterns (guarded by a minimum support) in a database of sequences. As the support decreases the number of sequential patterns will...
Kuo-Yu Huang, Chia-Hui Chang, Jiun-Hung Tung, Chen...
DAC
2005
ACM
13 years 10 months ago
Total power reduction in CMOS circuits via gate sizing and multiple threshold voltages
Minimizing power consumption is one of the most important objectives in IC design. Resizing gates and assigning different Vt’s are common ways to meet power and timing budgets. ...
Feng Gao, John P. Hayes
SDM
2010
SIAM
153views Data Mining» more  SDM 2010»
13 years 10 months ago
The Generalized Dimensionality Reduction Problem
The dimensionality reduction problem has been widely studied in the database literature because of its application for concise data representation in a variety of database applica...
Charu C. Aggarwal
PAMI
2011
13 years 3 months ago
Multiple Kernel Learning for Dimensionality Reduction
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
CVPR
2009
IEEE
15 years 3 months ago
Rank Priors for Continuous Non-Linear Dimensionality Reduction
Non-linear dimensionality reductionmethods are powerful techniques to deal with high-dimensional datasets. However, they often are susceptible to local minima and perform poorly ...
Andreas Geiger (Karlsruhe Institute of Technology)...